TY - GEN
T1 - Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA
AU - de Oliveira, Caterine Silva
AU - Sanin, Cesar
AU - Szczerbicki, Edward
PY - 2019/9/30
Y1 - 2019/9/30
N2 - Visual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing different sources of information (especially when structured in different ways) for decision making purposes. This issue becomes significantly greater when past information is retrieved and taken in account. We address this issue by proposing a Structuralized Context-Aware Indexing and Retrieval using Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). SOEKS and DDNA allow the creation of a multi-modal space composed of information from different sources, such as contextual, visual, auditory etc., in a form of a structure and explicit experiential knowledge. SOKES is composed by fields that allow this experiences to participate in the processes of similarity, uncertainty, impreciseness, or incompleteness measures and facilitate the indexing and retrieval of knowledge in Cognitive Systems.
AB - Visual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing different sources of information (especially when structured in different ways) for decision making purposes. This issue becomes significantly greater when past information is retrieved and taken in account. We address this issue by proposing a Structuralized Context-Aware Indexing and Retrieval using Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). SOEKS and DDNA allow the creation of a multi-modal space composed of information from different sources, such as contextual, visual, auditory etc., in a form of a structure and explicit experiential knowledge. SOKES is composed by fields that allow this experiences to participate in the processes of similarity, uncertainty, impreciseness, or incompleteness measures and facilitate the indexing and retrieval of knowledge in Cognitive Systems.
UR - https://www.scopus.com/pages/publications/85072829941
UR - https://doi.org/10.1007/978-3-030-30440-9
U2 - 10.1007/978-3-030-30440-9_2
DO - 10.1007/978-3-030-30440-9_2
M3 - Conference contribution
SN - 9783030304409
SN - 9783030304393
VL - 1050
T3 - Advances in Intelligent Systems and Computing
SP - 7
EP - 16
BT - Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019
A2 - Borzemski, Leszek
A2 - Świątek, Jerzy
A2 - Wilimowska, Zofia
PB - Springer Cham
CY - Switzerland
T2 - ISAT2019: 40th Anniversary International Conference on Information Systems Architecture and Technology-15th - 17th September, 2019-Wrocław; Poland
Y2 - 15 September 2019 through 17 September 2019
ER -